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利用双向孟德尔随机化研究血浆蛋白与阿尔茨海默病之间的因果关系。

Causal relationships between plasma proteins and Alzheimer's disease using bidirectional Mendelian randomization.

作者信息

Li Yichen, Yao Yu-Lin, Wu Yong

机构信息

Department of Psychiatry, Wuhan Mental Health Center, Wuhan, Hubei, China.

Affiliated Wuhan Mental Health Center, Jianghan University, Wuhan, Hubei, China.

出版信息

J Alzheimers Dis. 2025 Jul;106(2):765-773. doi: 10.1177/13872877251345151. Epub 2025 Jul 1.

Abstract

BackgroundAlzheimer's disease (AD) is influenced by a complex interplay of genetic, immune, and metabolic factors. Identifying plasma proteins causally linked to AD could help clarify these pathways and uncover potential therapeutic targets.ObjectiveThis study aims to investigate the causal relationships between AD and plasma proteins.MethodsWe conducted a two-stage, two-sample Mendelian randomization (MR) analysis to explore the causal relationships between plasma protein levels and AD risk. In both stages, we used non-overlapping genome-wide association study datasets for exposures (plasma protein levels) and outcome (AD) to ensure robust and independent analyses. We examined both forward (from plasma proteins to AD risk) and reverse (from AD to plasma protein expression) causal effects to elucidate potential bidirectional relationships.ResultsOur MR analysis identified 25 plasma proteins with causal associations to AD, with many implicated in immune and lipid metabolic pathways. These findings reinforce the roles of inflammation and lipid metabolism in AD pathogenesis and offer novel insights into specific proteins that may serve as biomarkers or therapeutic targets.ConclusionsThis study provides further support for the relationship between immune and lipid metabolic dysregulation and AD, advancing our understanding of the molecular mechanisms underlying disease progression and highlighting key proteins for future research and therapeutic development.

摘要

背景

阿尔茨海默病(AD)受遗传、免疫和代谢因素复杂相互作用的影响。确定与AD有因果关系的血浆蛋白有助于阐明这些途径并发现潜在的治疗靶点。

目的

本研究旨在探讨AD与血浆蛋白之间的因果关系。

方法

我们进行了两阶段、两样本孟德尔随机化(MR)分析,以探索血浆蛋白水平与AD风险之间的因果关系。在两个阶段中,我们使用不重叠的全基因组关联研究数据集作为暴露因素(血浆蛋白水平)和结局(AD),以确保进行稳健且独立的分析。我们研究了正向(从血浆蛋白到AD风险)和反向(从AD到血浆蛋白表达)因果效应,以阐明潜在的双向关系。

结果

我们的MR分析确定了25种与AD有因果关联的血浆蛋白,其中许多涉及免疫和脂质代谢途径。这些发现强化了炎症和脂质代谢在AD发病机制中的作用,并为可能作为生物标志物或治疗靶点的特定蛋白提供了新见解。

结论

本研究进一步支持了免疫和脂质代谢失调与AD之间的关系,增进了我们对疾病进展潜在分子机制的理解,并突出了未来研究和治疗开发的关键蛋白。

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